Features of the program
Discover China
Colorful cultural tour of Beijing, including visits to the Great Wall, Forbidden City, etc .
Learn MoreCutting Edge Subjects
Distributed systems, parallel computing, machine learning, big data management, etc.
Get an opportunity to meet big data experts
Prof. Wenguang Chen
Wenguang Chen is a professor in Department of Computer Science
and Technology, Tsinghua University. His research interest
is in parallel and distributed systems, programming model,
and mobile computing. He received the Bachelor’s and
Ph.D. degrees in computer science from Tsinghua University
in 1995 and 2000 respectively. Before joining Tsinghua
in 2003, he was the CTO of Opportunity International Inc.
He was appointed as the associate head of Department
of Computer Science and Technology from 2007 to 2014.
He has published over 50 papers in international conferences
and journals like Supercomputing, EuroSys, USENIX ATC,
OOPSLA, ICSE. He is a distinguished member and distinguished
speaker of CCF( China Computer Foundation). He is an
ACM member, vice chair of ACM China Council, and
Editor-in-Chief of Communications of ACM( China Edition).
He serves in the program committee of many conferences,
such as PLDI 2012,PPoPP 2013、2014, SC 2015, ASPLOS 2016,
CGO 2014,2016, IPDPS 2011, CCGrid 2014, ICPP 2009、2010、2011、
2015,APSYS 2011、2013、2015.He received the Distinguished
Young Scholar Award of Natural Science Foundation in 2015.
Dr. Guoliang Li
Guoliang Li is an Associate Professor of Department of Computer Science, Tsinghua University, Beijing, China. He received his PhD degree in computer science from Tsinghua University in 2009, and his Bachelor degree in Computer Science from Harbin Institute of Technology in 2004. His research interests include data cleaning and integration. He has published more than 80 papers in premier conferences and journals, such as SIGMOD, VLDB, ICDE, SIGKDD, SIGIR, TODS, VLDB Journal, and TKDE. He is a PC co-chair of The 14th International Conference on Web-Age Information Management (WAIM 2014) and The 17th International Workshop on theWeb and Databases (WebDB 2014). He has served on the program committees of many premier conferences, such as SIGMOD, VLDB, KDD, ICDE, and IJCAI. His papers have been cited more than 2600 times. He received IEEE TCDE Early Career Award, NSFC Excellent Young Scholars Award, CCY Young Scientist, New Century Excellent Talents in University Award, Beijing Excellent Doctoral Dissertation Award, Nomination Award of National Excellent Doctoral Dissertation, and SCOPUS National Youth Science Star Award.
Dr. Jie Tang
Jie Tang is an associate professor with Department of Computer Science and Technology at Tsinghua University, and was also visiting scholar at Cornell University. His interests include social network analysis, data mining, and machine learning. He has published more than 100 journal/conference papers and holds 14 patents. His papers have been cited by more than 5,000 times (Google Scholar). He served as PC Co-Chair of CIKM’16, WSDM’15, ASONAM’15, SocInfo’12, KDD-CUP/Poster/Workshop/Local/Publication Co-Chair of KDD’11-15, and as the PC member of more than 50 international conferences. He leads the project AMiner.org for academic social network analysis and mining, which has attracted more than 7 million independent IP accesses from 220 countries/regions in the world. He was honored with the Newton Advanced Scholarship Award, CCF Young Scientist Award, and NSFC Excellent Young Scholar.
Dr. Jun Zhu
Dr. Jun Zhu is an Associate Professor at the Department of
Computer Science and Technology in Tsinghua University
and an Adjunct Faculty at the Machine Learning Department
in Carnegie Mellon University. He received his Ph.D. in
Computer Science from Tsinghua in 2009. Before joining
Tsinghua in 2011, he did post-doctoral research at the
Machine Learning Department in Carnegie Mellon University.
His current work involves both the foundations of statistical
learning, including theory and algorithms for probabilistic
latent variable models, sparse learning in high dimensions,
Bayesian nonparametrics, and large-margin learning; and
the application of statistical learning in social network
analysis, data mining, and multi-media data analysis.
He has published over 60 peer-reviewed papers in
the prestigious conferences and journals, including ICML,
NIPS, KDD, JMLR, PAMI, etc. He is an associate editor for
IEEE Trans. on PAMI and Acta Automatica Sinica. He served
as area chair/senior PC for ICML (2014, 2015, 2016), NIPS
(2013, 2015), IJCAI (2013, 2015), UAI (2014, 2015), and
AAAI 2016. He was a local co-chair of ICML 2014. He is a
recipient of Microsoft Fellowship (2007), CCF Distinguished
PhD Thesis Award (2009), IEEE Intelligent Systems
"AI's 10 to Watch" Award (2013), NSFC Excellent Young
Scholar Award (2013), CCF Young Scientist Award (2013),
and CVIC SE Talents Award (2015). His work is supported
by the "221 Basic Research Plan for Young Talents" at Tsinghua.
